iPad15,7
Geekbench AI Score
3604
Single Precision Score
22955
Half Precision Score
26141
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:36 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1455
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
9059
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
11067
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16312
264.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19134
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6672
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
96931
113.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102582
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
12676
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14216
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
30927
367.5 IPS |
|
|
Face Detection (Q)
|
100% |
39394
468.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6155
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71198
548.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
88631
693.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18673
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
172993
222.4 IPS |
|
|
Style Transfer (Q)
|
96% |
173444
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4089
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33788
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35458
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2731
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7313
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8229
142.2 IPS |
